Literature DB >> 21997427

Season of birth and disordered eating in a population-based sample of young U.S. females.

Kristin N Javaras1, S Bryn Austin, Alison E Field.   

Abstract

OBJECTIVE: We used data from a population-based study of 9,039 adolescent and young adult females, followed prospectively since 1996 as part of the Growing Up Today Study (GUTS), to examine the relationship between season of birth and disordered eating in the U.S.
METHOD: We tested whether the distribution of birth season and month differed for participants who had ever reported both underweight and dieting/weight concern symptoms (n = 134) or both frequent bingeing and purging symptoms (n = 77) compared with other GUTS participants.
RESULTS: The two disordered-eating groups had relative birth peaks in the fall and relative birth troughs in the summer compared with other GUTS participants, but only the fall peak was consistently statistically significant. DISCUSSION: It appears that U.S. females born in the fall are more likely to develop disordered eating and that age relative to the rest of their school-year cohort may account for some of this phenomenon.
Copyright © 2010 Wiley Periodicals, Inc.

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Year:  2010        PMID: 21997427      PMCID: PMC3117109          DOI: 10.1002/eat.20864

Source DB:  PubMed          Journal:  Int J Eat Disord        ISSN: 0276-3478            Impact factor:   4.861


  31 in total

1.  Development and evaluation of the McKnight Risk Factor Survey for assessing potential risk and protective factors for disordered eating in preadolescent and adolescent girls.

Authors:  C M Shisslak; R Renger; T Sharpe; M Crago; K M McKnight; N Gray; S Bryson; L S Estes; O G Parnaby; J Killen; C B Taylor
Journal:  Int J Eat Disord       Date:  1999-03       Impact factor: 4.861

2.  Risk factors for body dissatisfaction in adolescent girls: a longitudinal investigation.

Authors:  Eric Stice; Kathryn Whitenton
Journal:  Dev Psychol       Date:  2002-09

3.  Season of birth in females with anorexia nervosa in Northeast Scotland.

Authors:  J M Eagles; J E Andrew; M I Johnston; E A Easton; H R Millar
Journal:  Int J Eat Disord       Date:  2001-09       Impact factor: 4.861

4.  Season of birth and eating disorders.

Authors:  I Rezaul; R Persaud; N Takei; J Treasure
Journal:  Int J Eat Disord       Date:  1996-01       Impact factor: 4.861

5.  Longitudinal data analysis for discrete and continuous outcomes.

Authors:  S L Zeger; K Y Liang
Journal:  Biometrics       Date:  1986-03       Impact factor: 2.571

6.  Relation of early menarche to depression, eating disorders, substance abuse, and comorbid psychopathology among adolescent girls.

Authors:  E Stice; K Presnell; S K Bearman
Journal:  Dev Psychol       Date:  2001-09

7.  Pattern of birth in early-onset anorexia nervosa: an equatorial study.

Authors:  Kate Willoughby; Rebecca Bowen; Ee-Lian Lee; Parvathy Pathy; Bryan Lask
Journal:  Int J Eat Disord       Date:  2005-01       Impact factor: 4.861

8.  Accuracy of self-reported weight and height among women with eating disorders: a replication and extension study.

Authors:  Caroline Meyer; Jon Arcelus; Sarah Wright
Journal:  Eur Eat Disord Rev       Date:  2009 Sep-Oct

9.  Child psychiatric disorder and relative age within school year: cross sectional survey of large population sample.

Authors:  Robert Goodman; Julia Gledhill; Tamsin Ford
Journal:  BMJ       Date:  2003-08-30

10.  Is relatively young age within a school year a risk factor for mental health problems and poor school performance? A population-based cross-sectional study of adolescents in Oslo, Norway.

Authors:  Lars Lien; Kristian Tambs; Brit Oppedal; Sonja Heyerdahl; Espen Bjertness
Journal:  BMC Public Health       Date:  2005-10-05       Impact factor: 3.295

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  1 in total

1.  Modeling month-season of birth as a risk factor in mouse models of chronic disease: from multiple sclerosis to autoimmune encephalomyelitis.

Authors:  Jacob D Reynolds; Laure K Case; Dimitry N Krementsov; Abbas Raza; Rose Bartiss; Cory Teuscher
Journal:  FASEB J       Date:  2017-03-14       Impact factor: 5.191

  1 in total

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